Add cell summary.py

cell summary.py

@@ -0,0 +1,49 @@
+import requests
+import openpyxl
+
+# Ollama server URL (update based on your setup)
+OLLAMA_URL = "http://192.168.40.142:11434/api/generate"
+
+# Load the Excel file
+file_path = "your_excel_file.xlsx"
+wb = openpyxl.load_workbook(file_path)
+sheet = wb.active  # Select the active sheet
+
+# Define the column for original text and where to save summaries
+text_column = "A"   # Column containing text to summarize
+summary_column = "G"  # Column to store summaries
+start_row = 2  # Starting row (assuming row 1 contains headers)
+
+def summarize_text(text):
+    """Send text to Ollama for summarization"""
+    payload = {
+        "model": "mistral:latest",  # Change model if needed
+        "prompt": f"Summarize the following text:\n\n{text}",
+        "stream": False
+    }
+    response = requests.post(OLLAMA_URL, json=payload)
+
+    print(f"Status Code: {response.status_code}")  # Print HTTP status
+    print(f"Response Text: {response.text}")  # Print response content
+
+    if response.status_code == 200:
+        try:
+            return response.json()["response"]
+        except KeyError:
+            print("Error: 'response' key not found in JSON")
+            return "Error in summarization"
+    else:
+        return f"Error in summarization (HTTP {response.status_code})"
+
+# Loop through all rows and summarize text
+for row in range(start_row, sheet.max_row + 1):
+    cell_value = sheet[f"{text_column}{row}"].value  # Get text from column B
+
+    if cell_value:
+        print(f"Summarizing row {row}...")
+        summary = summarize_text(cell_value)
+        sheet[f"{summary_column}{row}"] = summary  # Store summary in column C
+
+# Save updated Excel file
+wb.save(file_path)
+print("\nAll summaries saved successfully!")